论文标题

使用基于点击率的方法了解Twitter的参与

Understanding Twitter Engagement with a Click-Through Rate-based Method

论文作者

Fiandro, Andrea, Francois, Jeanpierre, Oliveri, Isabeau, Leonardi, Simone, Senese, Matteo A., Crepaldi, Giorgio, Benincasa, Alberto, Rizzo, Giuseppe

论文摘要

本文介绍了Recsys Challenge 2020的Polinks解决方案,该解决方案在最终排行榜中排名第六。我们分析了利用点击率值来解决挑战任务的解决方案的性能,我们将其与梯度增强模型进行了比较,并报告了用于计算最终排行榜的质量指标。

This paper presents the POLINKS solution to the RecSys Challenge 2020 that ranked 6th in the final leaderboard. We analyze the performance of our solution that utilizes the click-through rate value to address the challenge task, we compare it with a gradient boosting model, and we report the quality indicators utilized for computing the final leaderboard.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源